Senior Data Analyst, Product Finance

Lead is a fintech building banking infrastructure for embedded financial products and services. We operate an FDIC-insured bank headquartered in Kansas City, Missouri. Additionally, we have offices in San Francisco, Sunnyvale, and New York City, where our technical, product, design, and legal teams operate.

We are built for a constantly evolving financial landscape, where new ventures and technological advancements emerge daily. Guided by a team of entrepreneurs and technologists with decades of experience navigating intricate banking and payments regulations, Lead blends regulatory and technological expertise to help our fintech partners scale their operations with compliance and creativity.

Simply put, Lead offers the essential attributes that every fintech seeks in a partner bank. First, unparalleled technical expertise from a distinguished team of developers with an extensive understanding of the banking and payments systems. Second, oversight expertise, automated compliance systems, and bespoke program management to navigate the ever-shifting regulatory landscape. Finally, a commitment to transparency and operational rigor to ensure everyone’s money does what it’s supposed to do.

As a Senior Data Analyst for Product Finance, you will be the strategic architect of our financial data ecosystem. You won't just manage data streams; you will design the frameworks that ensure the scalability and integrity of our Banking-as-a-Service (BaaS) programs. This is a high-impact, cross-functional leadership role requiring a sophisticated blend of financial engineering, advanced analytics, and stakeholder management. You will serve as the primary bridge between Engineering and Finance, transforming raw system outputs from core platforms like Finxact into actionable financial intelligence and robust internal controls.

• Education: Bachelor’s degree in Finance, Accounting, Data Science, or a related quantitative field.

• Experience: 5–8+ years of experience in Financial Data Analysis, Analytics Engineering, or Fintech Operations.

• Technical Expertise

• Master-Level SQL: Proven ability to write high-performance queries, manage stored procedures, and optimize complex joins across disparate schemas.

• Data Modeling and Visualization: Advanced experience in dimensional modeling and building scalable reporting structures in BI tools or Python/R.

• Investigative Mindset: Strong ability to synthesize unstructured data into structured insights, with a proven track record of solving "black box" data problems through meticulous research and hypothesis testing.

• Financial Domain Authority: Deep expertise in BaaS, Fintech, or Core Banking accounting (General Ledger structures, settlement logic, and regulatory reporting requirements).

• Systems Experience: Expert-level familiarity with Finxact or similar cloud-native banking cores is required.

• Leadership Soft Skills: Exceptional ability to communicate technical data concepts to non-technical executive stakeholders and manage projects through the full SDLC (Software Development Life Cycle).